Compute Country Lead Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, we’re reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent. This role is hybrid, based out of Toronto, ON, Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced Microarchitect: 10+ years of deep expertise in CPU performance modeling and microarchitecture design. AI Workload Expert: Deeply familiar with the computational and memory bottlenecks of modern AI workloads, particularly Large Language Models (LLMs). Hardware-Software Co-Designer: Driven to architect custom instruction set extensions and validate their performance gains against real-world workloads. Ways to stand-out: Familiarity with open-source RISC-V cores, AI-based agentic workflow experience What We Need Profile & Analyze: Dissect cutting-edge AI workloads to identi

As a Principal Software Engineer, you will set the technical direction for NVIDIA's global Developer Compute platform. The platform covers AI agent sandboxes and virtual desktop infrastructure. You will architect and build the services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure. These environments serve both AI agents and the people who work alongside them. You will partner with engineering, IT, and security leaders across NVIDIA to turn AI and end-user workflows into reliable, high-performance platform capabilities. This role is for a hands-on technical leader who wants to define how agents and people get compute at the frontier of AI! What you will be doing: Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment. Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions. Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for both GPU-accelerated and general-purpose workloads. Collaborating with engineering, IT, and security leaders within NVIDIA to translate AI workflow and end-user compute requirements into a multi-year platform roadmap. What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, o

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper

Senior Infrastructure Automation Engineer, Compute Platform — 2 Locations. Apply via Workday.

Senior Systems Software Engineer, Compute Stack Acceleration — 4 Locations. Apply via Workday.

About the Team OpenAI’s Procurement team makes working with the world easy, fast, and safe. We connect supplier readiness, purchasing, invoicing, and payment so teams can move with confidence as OpenAI scales. Accounts Payable and Supplier Master Data Operations provide the trusted data, dependable execution, and financial discipline behind that experience. About the Role OpenAI’s compute infrastructure depends on controlled execution of significant supplier spend. As Senior Manager, Accounts Payable — Compute, you will own payment readiness and material exceptions across large-value, business-critical obligations. Complex agreements evolve through amendments to pricing, capacity, service credits, billing mechanics, legal entities, and payment schedules. You will translate approved obligations into accurate, timely payments while navigating supplier disputes, late approvals, close deadlines, and cross-system dependencies. We’re looking for a hands-on technical and operational leader who can interpret complex payment terms, reconcile financial data, diagnose system failures, and build scalable workflows. Coordinating across multiple Compute Finance and Accounting teams is a core responsibility: you will establish decision owners, align deadlines, and move interdependent work forward in parallel. You will set the compute AP operating plan and lead delivery with Procurement, Treasury, Tax, Finance Systems, and existing processing teams, with measurable improvements in controls, service, and capacity. Location: This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the compute invoice-to-payment operating plan, prioritize material exceptions, and lead supplier escalations across complex, high-value obligations and tight payment deadlines. Interpret executed contracts and approved amendments affecting pricing, capacity, credits, billing mechanics, e

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid is can deliver. This is a senior role with wide latitude: you'll decide where that platform goes next. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the product vision, strategy, and multi-year roadmap for Vercel's compute platform. Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a fundamentally different compute profile than traditional request/response traffic. Shape the developer experience of running workloads on Vercel: resource model

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week. Responsibilities Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms. Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable. Define and track service goals for availability, provisioning speed, pipeline success and query performance. Build strong practices for on-call, automation, SLAs and escalation paths. Partner with the product and engineering teams that build on our platform to turn their needs into self-service capabilities. Develop and maintain budgets, forecasts and a cost attribution model. Support our value of journalistic independence and a strong commitment to our mission

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you. In this role you will: Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: Distributed systems: Track record of working with platform-as-a-service, distributed storage, o

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships. The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth. About the Role We are seeking a Development Planner to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build. You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff. This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority. Key Responsibilities Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies. Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements. Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out. Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-re

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a senior software engineer on the Cell Platform team at Roblox, you will build systems that Roblox engineers use to create and deploy resources onto Kubernetes. Our engineers deploy their services in a complex, hybrid, multiple-cluster, K8s environment. The Cell Platform manages this complexity for our users, with tools, APIs, K8s controllers, and UX, simplifying infrastructure for our internal customers. You Have: A desire to work on critical, large-scale distributed systems An appreciation of observability and instrumentation and tooling to make your life easier 7+ years of experience as software engineer Bachelor's degree in Computer Science or an equivalent field You will: Build our Roblox-wide control plane using Kubernetes primitives (and plenty of custom resources) Work on the interface of the few hundred person infrastructure organization to the thousands of Roblox engineers Write and review high quality code and tests (largely Golang) Work on a team that cares about inclusivity and shipping For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety o

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Infrastructure Compute Site Reliability Engineering mission is to own and manage the successful operation of our underlying cell infrastructure system, along with elements of service discovery, secrets management and related software layers. We’re looking for a skilled Senior Site Reliability Engineer with strong programming skills to help us build Roblox's private cloud, productionize our growing Kubernetes-based infrastructure, and institute reliability best practices across the Roblox Compute team. You will: Design and Develop systems & libraries that promote fault-tolerance and resilience, automate much of the management and lifecycle of our clusters, and ensure systems are observable. Promote and Institute reliability best practices across the Infra Compute group, drive common reliability initiatives. Provides collaborative technical reviews and operational guidance to strengthen system reliability. Build, Automate and Standardize process automation to create a "golden path" of tooling and platform support that powers the fundamental Roblox ecosystem. Create Tooling that provides production guardrails, by evaluating release candidate capacity with load testing tooling before de

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Cohere is seeking a Global Public Policy Manager to lead policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems. This role will help position Cohere as a trusted partner in emerging discussions around AI infrastructure, national competitiveness, and sovereign AI deployment. Key Responsibilities Monitor and analyze developments related to AI infrastructure, data centers, energy policy, semiconductor policy, export controls, and national AI strategies. Develop policy positions on sovereign AI, compute access, digital sovereignty, and AI competitiveness. Support engagement with governments developing AI infrastructure investment programs and national AI initiatives. Collaborate with commercial, product, and corporate development teams on strategic opportunities involving public-private partnerships. Represent Cohere in policy discussions related to AI infrastructure, energy requirements, and technology c

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Strategic Deals Lead, you will help shape Anthropic's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. As Anthropic scales its own internal infrastructure footprint, you will originate, structure, negotiate, and close the deals that put its strategy into effect. Operating at the intersection of infrastructure strategy, technology evaluation, commercial deal-making, and financing, you will identify and execute opportunities that expand Anthropic's access to the compute, infrastructure, and technologies required to train and serve frontier AI systems. Securing that infrastructure at scale requires sophisticated deal-making with some of the world's largest technology companies, and increasingly it requires connecting deal structure with financing. You’ll go deeper into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and connecting deal structure to financing. You will work closely with engineering, infrastructure, finance, legal, and executive leadership to evaluate emerging technologies, assess build-versus-buy decisions, structure and negotiate the multi-layered silicon transactions that secure access to compute at the chip level and cultivate strategic relationships across the AI ecosystem. We are looking for people who combine a deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, financial acumen, and the negotiating skill to close complex agreements at the terms and timelines Anthropic requires. You will be an integral part of a team

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Deals Lead, you will shape and execute Anthropic's partnerships with the hyperscalers and cloud service providers that supply the compute we train and serve frontier models on. As Anthropic scales its infrastructure footprint, you will originate, structure, negotiate, and close the deals that put that strategy into effect — securing large-scale compute capacity and, increasingly, shaping how Anthropic's models are distributed, priced, and sold through those same partners' platforms Securing that infrastructure at scale requires cultivating strong partnerships across the hyperscaler and cloud service provider ecosystem — partnerships that cut across compute, go-to-market, and product teams. These relationships span multi-year compute commitments, financing structures, model availability on the partner's platform, co-selling and marketplace arrangements, and joint go-to-market motions. You will be the person who connects those threads: working with engineering and infrastructure teams to understand what compute Anthropic needs, and with product, go-to-market, finance, and legal teams to make sure the commercial and distribution terms we agree to reinforce rather than constrain each other. We are looking for people who combine a deep understanding of cloud and AI infrastructure with strong strategic judgment, financial acumen, and the negotiating skill to close complex agreements at the terms and timelines Anthropic requires. You will be an integral part of a team focused on ensuring Anthropic has the resources it needs to pursue its mission of developing safe, beneficial AI systems. Key responsibilities Own